{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei']\n",
    "plt.rcParams['axes.unicode_minus'] = False"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 读取科比投篮数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(30697, 25)"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv('data/kobe.csv')\n",
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>action_type</th>\n",
       "      <th>combined_shot_type</th>\n",
       "      <th>game_event_id</th>\n",
       "      <th>game_id</th>\n",
       "      <th>lat</th>\n",
       "      <th>loc_x</th>\n",
       "      <th>loc_y</th>\n",
       "      <th>lon</th>\n",
       "      <th>minutes_remaining</th>\n",
       "      <th>period</th>\n",
       "      <th>...</th>\n",
       "      <th>shot_type</th>\n",
       "      <th>shot_zone_area</th>\n",
       "      <th>shot_zone_basic</th>\n",
       "      <th>shot_zone_range</th>\n",
       "      <th>team_id</th>\n",
       "      <th>team_name</th>\n",
       "      <th>game_date</th>\n",
       "      <th>matchup</th>\n",
       "      <th>opponent</th>\n",
       "      <th>shot_id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Jump Shot</td>\n",
       "      <td>Jump Shot</td>\n",
       "      <td>10</td>\n",
       "      <td>20000012</td>\n",
       "      <td>33.9723</td>\n",
       "      <td>167</td>\n",
       "      <td>72</td>\n",
       "      <td>-118.1028</td>\n",
       "      <td>10</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>2PT Field Goal</td>\n",
       "      <td>Right Side(R)</td>\n",
       "      <td>Mid-Range</td>\n",
       "      <td>16-24 ft.</td>\n",
       "      <td>1610612747</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>2000-10-31</td>\n",
       "      <td>LAL @ POR</td>\n",
       "      <td>POR</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Jump Shot</td>\n",
       "      <td>Jump Shot</td>\n",
       "      <td>12</td>\n",
       "      <td>20000012</td>\n",
       "      <td>34.0443</td>\n",
       "      <td>-157</td>\n",
       "      <td>0</td>\n",
       "      <td>-118.4268</td>\n",
       "      <td>10</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>2PT Field Goal</td>\n",
       "      <td>Left Side(L)</td>\n",
       "      <td>Mid-Range</td>\n",
       "      <td>8-16 ft.</td>\n",
       "      <td>1610612747</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>2000-10-31</td>\n",
       "      <td>LAL @ POR</td>\n",
       "      <td>POR</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Jump Shot</td>\n",
       "      <td>Jump Shot</td>\n",
       "      <td>35</td>\n",
       "      <td>20000012</td>\n",
       "      <td>33.9093</td>\n",
       "      <td>-101</td>\n",
       "      <td>135</td>\n",
       "      <td>-118.3708</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>2PT Field Goal</td>\n",
       "      <td>Left Side Center(LC)</td>\n",
       "      <td>Mid-Range</td>\n",
       "      <td>16-24 ft.</td>\n",
       "      <td>1610612747</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>2000-10-31</td>\n",
       "      <td>LAL @ POR</td>\n",
       "      <td>POR</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Jump Shot</td>\n",
       "      <td>Jump Shot</td>\n",
       "      <td>43</td>\n",
       "      <td>20000012</td>\n",
       "      <td>33.8693</td>\n",
       "      <td>138</td>\n",
       "      <td>175</td>\n",
       "      <td>-118.1318</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>2PT Field Goal</td>\n",
       "      <td>Right Side Center(RC)</td>\n",
       "      <td>Mid-Range</td>\n",
       "      <td>16-24 ft.</td>\n",
       "      <td>1610612747</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>2000-10-31</td>\n",
       "      <td>LAL @ POR</td>\n",
       "      <td>POR</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Driving Dunk Shot</td>\n",
       "      <td>Dunk</td>\n",
       "      <td>155</td>\n",
       "      <td>20000012</td>\n",
       "      <td>34.0443</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>-118.2698</td>\n",
       "      <td>6</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>2PT Field Goal</td>\n",
       "      <td>Center(C)</td>\n",
       "      <td>Restricted Area</td>\n",
       "      <td>Less Than 8 ft.</td>\n",
       "      <td>1610612747</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>2000-10-31</td>\n",
       "      <td>LAL @ POR</td>\n",
       "      <td>POR</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 25 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         action_type combined_shot_type  game_event_id   game_id      lat  \\\n",
       "0          Jump Shot          Jump Shot             10  20000012  33.9723   \n",
       "1          Jump Shot          Jump Shot             12  20000012  34.0443   \n",
       "2          Jump Shot          Jump Shot             35  20000012  33.9093   \n",
       "3          Jump Shot          Jump Shot             43  20000012  33.8693   \n",
       "4  Driving Dunk Shot               Dunk            155  20000012  34.0443   \n",
       "\n",
       "   loc_x  loc_y       lon  minutes_remaining  period  ...       shot_type  \\\n",
       "0    167     72 -118.1028                 10       1  ...  2PT Field Goal   \n",
       "1   -157      0 -118.4268                 10       1  ...  2PT Field Goal   \n",
       "2   -101    135 -118.3708                  7       1  ...  2PT Field Goal   \n",
       "3    138    175 -118.1318                  6       1  ...  2PT Field Goal   \n",
       "4      0      0 -118.2698                  6       2  ...  2PT Field Goal   \n",
       "\n",
       "          shot_zone_area  shot_zone_basic  shot_zone_range     team_id  \\\n",
       "0          Right Side(R)        Mid-Range        16-24 ft.  1610612747   \n",
       "1           Left Side(L)        Mid-Range         8-16 ft.  1610612747   \n",
       "2   Left Side Center(LC)        Mid-Range        16-24 ft.  1610612747   \n",
       "3  Right Side Center(RC)        Mid-Range        16-24 ft.  1610612747   \n",
       "4              Center(C)  Restricted Area  Less Than 8 ft.  1610612747   \n",
       "\n",
       "            team_name   game_date    matchup opponent  shot_id  \n",
       "0  Los Angeles Lakers  2000-10-31  LAL @ POR      POR        1  \n",
       "1  Los Angeles Lakers  2000-10-31  LAL @ POR      POR        2  \n",
       "2  Los Angeles Lakers  2000-10-31  LAL @ POR      POR        3  \n",
       "3  Los Angeles Lakers  2000-10-31  LAL @ POR      POR        4  \n",
       "4  Los Angeles Lakers  2000-10-31  LAL @ POR      POR        5  \n",
       "\n",
       "[5 rows x 25 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 前5条\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- action type 进攻方式(更具体)\n",
    "    - (跳投'，上篮,扣篮',补篮',勾手,擦板\")\n",
    "- combined shot type 进攻方式\n",
    "- game_event id 比赛时间id\n",
    "- game id 比赛ID\n",
    "- lat 投篮点(维度)\n",
    "- ·loc x投篮点\n",
    "- loc_y投篮点\n",
    "- lon 投篮点(经度)\n",
    "- minutes remaining 单节剩余时间(分钟)\n",
    "- period 表示第几节(5,6,7节都是加时赛)\n",
    "- playoffs 是否是季后赛\n",
    "- season 赛李\n",
    "- seconds remaining 剩余时间(秒)\n",
    "- shot distance 投篮距离\n",
    "- shot_made_flag 是否进球shot type 两分球或三分球\n",
    "- shot type 两分球或三分球\n",
    "- shot zone area 投篮区域\n",
    "- shot zone basic 投篮区域(更具体)\n",
    "    - \"(\"中距离\"，\"进攻有理区'底线之外的三分”\n",
    "    - \"除进攻有理区外的禁区\"\"右边底线三分，左边底线三分，后场\"\n",
    "- shot zone range 投篮范围\n",
    "- team id 球队ID\n",
    "- team_name 球队名称\n",
    "- game_date 比赛日期\n",
    "- matchup 比赛双方\n",
    "- opponent 对手\n",
    "- shot id 投篮ID"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "\n",
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       "        text-align: right;\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>action_type</th>\n",
       "      <th>combined_shot_type</th>\n",
       "      <th>game_event_id</th>\n",
       "      <th>game_id</th>\n",
       "      <th>lat</th>\n",
       "      <th>loc_x</th>\n",
       "      <th>loc_y</th>\n",
       "      <th>lon</th>\n",
       "      <th>minutes_remaining</th>\n",
       "      <th>period</th>\n",
       "      <th>...</th>\n",
       "      <th>shot_type</th>\n",
       "      <th>shot_zone_area</th>\n",
       "      <th>shot_zone_basic</th>\n",
       "      <th>shot_zone_range</th>\n",
       "      <th>team_id</th>\n",
       "      <th>team_name</th>\n",
       "      <th>game_date</th>\n",
       "      <th>matchup</th>\n",
       "      <th>opponent</th>\n",
       "      <th>shot_id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Jump Shot</td>\n",
       "      <td>Jump Shot</td>\n",
       "      <td>10</td>\n",
       "      <td>20000012</td>\n",
       "      <td>33.9723</td>\n",
       "      <td>167</td>\n",
       "      <td>72</td>\n",
       "      <td>-118.1028</td>\n",
       "      <td>10</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>2PT Field Goal</td>\n",
       "      <td>Right Side(R)</td>\n",
       "      <td>Mid-Range</td>\n",
       "      <td>16-24 ft.</td>\n",
       "      <td>1610612747</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>2000-10-31</td>\n",
       "      <td>LAL @ POR</td>\n",
       "      <td>POR</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Jump Shot</td>\n",
       "      <td>Jump Shot</td>\n",
       "      <td>12</td>\n",
       "      <td>20000012</td>\n",
       "      <td>34.0443</td>\n",
       "      <td>-157</td>\n",
       "      <td>0</td>\n",
       "      <td>-118.4268</td>\n",
       "      <td>10</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>2PT Field Goal</td>\n",
       "      <td>Left Side(L)</td>\n",
       "      <td>Mid-Range</td>\n",
       "      <td>8-16 ft.</td>\n",
       "      <td>1610612747</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>2000-10-31</td>\n",
       "      <td>LAL @ POR</td>\n",
       "      <td>POR</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Jump Shot</td>\n",
       "      <td>Jump Shot</td>\n",
       "      <td>35</td>\n",
       "      <td>20000012</td>\n",
       "      <td>33.9093</td>\n",
       "      <td>-101</td>\n",
       "      <td>135</td>\n",
       "      <td>-118.3708</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>2PT Field Goal</td>\n",
       "      <td>Left Side Center(LC)</td>\n",
       "      <td>Mid-Range</td>\n",
       "      <td>16-24 ft.</td>\n",
       "      <td>1610612747</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>2000-10-31</td>\n",
       "      <td>LAL @ POR</td>\n",
       "      <td>POR</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Jump Shot</td>\n",
       "      <td>Jump Shot</td>\n",
       "      <td>43</td>\n",
       "      <td>20000012</td>\n",
       "      <td>33.8693</td>\n",
       "      <td>138</td>\n",
       "      <td>175</td>\n",
       "      <td>-118.1318</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>2PT Field Goal</td>\n",
       "      <td>Right Side Center(RC)</td>\n",
       "      <td>Mid-Range</td>\n",
       "      <td>16-24 ft.</td>\n",
       "      <td>1610612747</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>2000-10-31</td>\n",
       "      <td>LAL @ POR</td>\n",
       "      <td>POR</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Driving Dunk Shot</td>\n",
       "      <td>Dunk</td>\n",
       "      <td>155</td>\n",
       "      <td>20000012</td>\n",
       "      <td>34.0443</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>-118.2698</td>\n",
       "      <td>6</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>2PT Field Goal</td>\n",
       "      <td>Center(C)</td>\n",
       "      <td>Restricted Area</td>\n",
       "      <td>Less Than 8 ft.</td>\n",
       "      <td>1610612747</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>2000-10-31</td>\n",
       "      <td>LAL @ POR</td>\n",
       "      <td>POR</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 25 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         action_type combined_shot_type  game_event_id   game_id      lat  \\\n",
       "0          Jump Shot          Jump Shot             10  20000012  33.9723   \n",
       "1          Jump Shot          Jump Shot             12  20000012  34.0443   \n",
       "2          Jump Shot          Jump Shot             35  20000012  33.9093   \n",
       "3          Jump Shot          Jump Shot             43  20000012  33.8693   \n",
       "4  Driving Dunk Shot               Dunk            155  20000012  34.0443   \n",
       "\n",
       "   loc_x  loc_y       lon  minutes_remaining  period  ...       shot_type  \\\n",
       "0    167     72 -118.1028                 10       1  ...  2PT Field Goal   \n",
       "1   -157      0 -118.4268                 10       1  ...  2PT Field Goal   \n",
       "2   -101    135 -118.3708                  7       1  ...  2PT Field Goal   \n",
       "3    138    175 -118.1318                  6       1  ...  2PT Field Goal   \n",
       "4      0      0 -118.2698                  6       2  ...  2PT Field Goal   \n",
       "\n",
       "          shot_zone_area  shot_zone_basic  shot_zone_range     team_id  \\\n",
       "0          Right Side(R)        Mid-Range        16-24 ft.  1610612747   \n",
       "1           Left Side(L)        Mid-Range         8-16 ft.  1610612747   \n",
       "2   Left Side Center(LC)        Mid-Range        16-24 ft.  1610612747   \n",
       "3  Right Side Center(RC)        Mid-Range        16-24 ft.  1610612747   \n",
       "4              Center(C)  Restricted Area  Less Than 8 ft.  1610612747   \n",
       "\n",
       "            team_name   game_date    matchup opponent  shot_id  \n",
       "0  Los Angeles Lakers  2000-10-31  LAL @ POR      POR        1  \n",
       "1  Los Angeles Lakers  2000-10-31  LAL @ POR      POR        2  \n",
       "2  Los Angeles Lakers  2000-10-31  LAL @ POR      POR        3  \n",
       "3  Los Angeles Lakers  2000-10-31  LAL @ POR      POR        4  \n",
       "4  Los Angeles Lakers  2000-10-31  LAL @ POR      POR        5  \n",
       "\n",
       "[5 rows x 25 columns]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 显示前5条\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 1.分别根据投篮点坐标(loc x,loc y)和 投篮经纬度(lat,lon)画出科比投篮的位置\n",
    "- (2个散点图，使用子图)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10, 5))\n",
    "\n",
    "# 子图1\n",
    "axes1 = plt.subplot(1, 2, 1)\n",
    "axes1.set_title('投篮坐标点')\n",
    "axes1.scatter(df['loc_x'], df['loc_y'])\n",
    "\n",
    "# 子图2\n",
    "axes1 = plt.subplot(1, 2, 2)\n",
    "axes1.set_title('投篮经纬度')\n",
    "axes1.scatter(df['lat'], df['lon'])\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 2.画图对比科比的出手方式action type的次数,得出科比哪种出手方式最多\n",
    "- 使用条形图\n",
    "- 画图显示前10个即可"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<BarContainer object of 10 artists>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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hWFiYfgts2bKFefPmkZiYqJ47U0JCQpg8eTKhoaEEBgbelsisWLECe3t7Tpw4gaOjI2+++SYAGzduJDo6mri4OLZt28aaNWv44IMPAMjJyeHo0aMA5OXlkZeXR7du3SrtPyYmBq1Wq26urq4mYxZCCCHK1PkECUpnG8oSA4AzZ86wa9cuQkJCcHFxMVnf3t6eJ554gq+//hqAnTt3MmTIELP6vnbtGsuXL6ddu3bqQuWcnBygdFZr2LBhPProo7Rr145z587RtGnTOxhhKS8vL3799Vd69uzJL7/8QnFxsTozExQURFFREQcPHkRRFBISEhgxYoRZ7Q4ePJj+/fvTsWNHJk6cSEJCgln1YmJiSE1NRafT8fjjjxMfH6+Wubq6EhMTg4eHB2FhYWRlZQGwcuVKpkyZQp8+fQgICECv16trl7RarfrLyw4ODjg4ONCgQYNK+46KiiI/P1/dytoXQgghzFEn1yCVd+vWLX7//XecnJzU10aNGoVWq/1T7QwdOpQdO3YwbNgwvv76a+bNm2dWvaZNm9KxY0cArKysANRkzdvbm4MHD9KiRQtOnz7NI4888qdiMnbjxg3GjRvHvn37ePTRR2nQoAG3bt0CSmfSBg8ezKZNm7C0tMTCwkJdH2SsoKCgwn752RcXFxc1watOamoqTZs2xcvLi88//xxvb2+mTZumPoHXu3dv9VgrKyv1nGRlZeHp6amWeXl5ce7cOfNOQDnW1tZYW1v/6XpCCCEE1IMZpO+//x6AgIAA9bUmTZr86XaefvppvvnmG44fP46bmxvOzs5m1Sub8TCmKAqPPPIIr776Kq1atSI8PJxHH330T8dV3uLFi8nPz+fixYt88803tyVAI0aMYNOmTcTHxzN8+HB1zZRGo1HX+QAcPny4Qr3yi6uzsrJo1aqVyVj+8Y9/VFjfFRQUVOEpv6rOi5ubG+np6ep+eno67u7u6n7ZLcHyM4JCCCHEvVYnZ5Bu3bpFTk4OycnJTJgwgZdffvmunzBr1qwZ/v7+xMTEMHTo0LuOMTU1lX379nHgwIE/vUamsLCQ8+fPV3itdevWXL16lZKSEnJzc0lMTGT58uUMHjxYPaZPnz5cv36dDz/8UL1dCKWzQhs2bKC4uJjMzExWrFiBpeX/vTXi4+PZvn07bdq0YdmyZUydOtVkjMHBwcTExBAcHIyTkxNvv/02wcHBJuuNGzeOl19+mcDAQOzt7ZkzZw6vvPKKWu7s7Ezjxo3ZunUrHTt25OLFi3Tv3t1ku0IIIcSfUSdnkE6cOEHr1q159dVXiYyMZOHChfek3SFDhrBu3boKSced8vX1xdHRkd69e6PT6WjUqBHjx483q+6uXbtwdXWtsF2+fJkpU6ZQVFSEr68vq1atYsyYMerTe1D69QdDhgyhWbNmFRY3P/fcc7i4uODn58fo0aN5/fXXK/Q3bNgwZsyYweOPP87AgQOJjIw0GWNkZCQjR47k2WefJSAgAHt7e7Oe0BsyZAizZ88mPDycAQMGMHLkSCZNmqSWN2zYkJUrVxIZGYmfn5/Z66GEEEKIP0OjyL2KWvHJJ5+wYcMGYmNjady4MceOHWPAgAHk5ORUefvpbty4cYPc3FzmzZtHy5Yt1afGTImIiMDDw+Oh/+Zrg8FQOlM3ZQMW1o1rO5zbZLw9sLZDEEKIeqHs8yA/P7/az9s6eYvtYfDEE0+wdu1a2rdvz40bN3B3d+ftt9+ukeQI4PLly/j6+uLn58fu3btrpA8hhBCirpAEqZZ4enryzTff3Lf+XFxc1O9f+jPi4uLufTBCCCHEA04SJFGvnIgOrrFZOiGEEHVHnVykLYQQQghxNyRBEkIIIYQwIgmSEEIIIYQRWYMk6pX2c3bd08f85fF8IYSom2QGSQghhBDCiCRIQgghhBBGJEESQgghhDDywCZIcXFxaDSa27bExMTaDu2+y8jIQKPR3HG9K1eu3PugzLBt2zb8/f3RarUMHTqU/Px8APR6PREREbUSkxBCCGGOBzZBev7558nLy2Pv3r0A5OXlkZeXR69evWo5MmGO8+fP8/zzz/Pee++RkpLChQsXiI6OvidtazQaMjIy7klbQgghRGUe2ATJysoKBwcH7OzsAHBwcMDBwQFLS3nw7mHwww8/4OTkxIABA/D09GT27Nlcv369tsMSQgghzPLAJkjVSUxMxMPDo8Jr5WcVIiIi0Ov1fP755/j5+bF8+fIK9bZs2YK7uzvNmjVj6dKlahsHDhygc+fONG7cmMcee4xTp06pZVW1CXDixAl69eqFVqtlwIABnD9/3mScpmLZunUr3t7etGjRgk8//fSuz1lcXBx9+vRR98vftvPw8GD8+PFotVqmTZtG//79ad68OcnJyej1evr370/v3r3RarWEhYVhMBhM9ufj48OZM2dYtWoViqLQv39/VqxYUeGYuXPn4uDggE6n48CBA+rrX375JX5+frRo0YJXXnlF/Q05f39/NWadTodGo2H9+vV3e2qEEEKI2zyUCZI5du3axdKlS3n33Xd5+umn1dcvXbrE/Pnz2b59O3PnzmXatGkUFhZSUlLC0KFDGTx4MOnp6Tz++ONMnz7dZJvXrl2jb9++/O1vf+PYsWO4uroSGhpKSUmJyRiriiUnJ4cRI0YwY8YMkpKS2Lp16709OZUwGAwsWLCA9957j/Hjx9OpUyd2794NwM6dOxkzZgyHDh0iIyOD119/3WR7HTt2ZNGiRUyYMIEOHTqwY8eOCuXbt28nPT2dlJQUAgMDiYqKAiA5OZlRo0Yxf/589u/fz6FDh5g5c6ZalpeXB8DRo0fJy8tjyJAhlfZfVFSEwWCosAkhhBDmqrMJ0pkzZ9i1axchISG4uLior1+7do3ly5fTrl07XnrpJW7evElOTg4AKSkp/OMf/yArK4srV66Qmppqss2vvvoKOzs75syZg7u7O4sXL+aXX37hxx9/NBljVbHs3LkTnU7HuHHj8Pb2Rq/X37sTU4Xw8HB8fX1xcnIiNDQUV1dXiouLAQgMDCQ8PBwfHx9mzJhBQkKCWW1OmjSJs2fPEhQUREhICMuWLVPLLC0tWbFiBTqdjvDwcLKysgCIjY1l5MiRPPPMM/j7+7Nw4UJWrlyJoijY2dnh4OAAgL29PQ4ODjRs2LDSvmNiYtBqterm6up6F2dHCCFEfVMnEqSCgoLbXhs1ahRarfa215s2bUrHjh2B0nVOAIqiYGFhwfvvv4+LiwsTJ04kLy+PW7dumWwzKysLnU6n7tvY2ODi4sK5c+dMxllVLBcvXsTNzU09zsvLq+rBl3Po0CF69ux52+sNGjQwGYuNjU2FP8srn1y4uLioCWV1MjIyyMrKolWrVixevJjY2FimT5/OzZs3AejevTvW1tZA6dgVRQFKz6enp6fajpeXFzdu3CA3N9dkn+VFRUWRn5+vbmUJmBBCCGGOh3LFs0ajqXAL6/Dhw7cd06RJk0rr2tvbV/p6YmIisbGx/PTTTzg6OrJ9+/bb2q2sTTc3N86ePavuFxUVkZ2djbu7u3rrrqo4q4rF0dGR7Oxsdb+yZKsytra2JCcnc+vWLRo0aMClS5ewtbXFzs7OrHNWlfJPjJUlPaa8//77GAwGVq1aBUBQUBCFhYXcuHEDqHrsbm5upKenq/vp6ek0atSIli1bqq9pNBo1oaqKtbW1moAJIYQQf9ZDOYPk4uLCxYsXyczMpKCggDlz5tx1m1evXgXgypUrHDhwgKlTp5r8EAYYNGgQV69eJTo6mszMTF599VV8fHzo1q3bHcfZt29ffv75Z1avXs2ZM2fMvsXm5eVF69atWbhwIefPn2fRokUEBQUBpefs1KlTGAwGcnNzeeedd8xqEyApKYnVq1dz+vRp5s+fX+W6n/KCg4PZuHEju3fvJisrC71eT/fu3Sud1Stv7NixrFmzhvj4eFJTU5k6dSqRkZEVvgfKy8uLHTt2cOHCBfVrIIQQQoh76aFMkLy9vZk8eTKBgYH06tWLyZMn33Wb/fr1o1+/fgQEBDB+/HjGjRtHdna2ydtJtra27Nq1i927d9OhQwfOnTtHQkICFhYWdxxnmzZtWLNmDdHR0fTq1YvAwECz6jVs2JANGzawfv162rZtS05ODkuWLAHgySefpG/fvnTo0IGBAwcya9Yss9oECAkJITY2loCAALy8vMxK9AYMGIBer2fcuHG0a9eOixcvsm7dOpP1unbtyurVq5kxYwaBgYF06dKFmJiYCscsX76chQsXotPpbnsyTgghhLgXNIo50ySi3tLr9WRkZBAXF1fbodwVg8FQulh7ygYsrBvfs3Yz3h54z9oSQghR88o+D/Lz86tc7gEP6QySEEIIIURNeigXaYv75358xYAQQgjxoJEESdQrJ6KDq51SFUIIIUBusQkhhBBC3EYSJCGEEEIII5IgCSGEEEIYkTVIol5pP2eXPOYvhBDCJJlBEkIIIYQwIgmSEEIIIYQRSZCEEEIIIYxIgiSEEEIIYaTOJUhxcXFoNJrbtj179vypdhITE/Hw8KiZIO+TuLg4OnXqVGv9v/XWW7Rq1YpWrVrxz3/+k7Kf/evTp89D/9tuQggh6rY6+RRb+/bt2bdvX4XXbG1tayma+mnjxo188skn7Nmzh2vXrjFo0CD+8pe/8PTTT99Vu4mJiURERJCRkXFvAhVCCCEqUScTpAYNGuDg4FDbYdRriYmJBAUF0b59ewCmTZvGhQsXajkqIYQQwjx17habKQkJCfj5+dGkSROCgoLIzs5Wy2JjY2nTpg1t2rRh9+7dFert3LmTDh064ODgwNixYykqKlLLPv74Y9zc3LCzs2Pw4MFcu3aNnJwcLC0tKS4uZsqUKXTv3h2Abt26sXHjxirrAYwZM4aJEyeq7e/Zs4fWrVtTUlJyx+OOiIio8MOzcXFx9OnTh4yMDDQaDX//+9+xtbVlyZIleHl58cgjj3Dt2jX69OnDuHHj8Pf3x9HR0ewfr/X19SUhIYGkpCQAoqKiePnll9Xy69evM2zYMJo0aULPnj3JyckB4NatW8yePRtnZ2c8PDz48MMPAfj111/RaDQ88cQTZGZmqrdOf/3110r7LyoqwmAwVNiEEEIIc9XJBOn48eM4ODio2/HjxwHIy8tjxIgRREVFkZaWhqOjI/PmzQPg6NGjvPLKKyxbtowdO3awfv16tb20tDRCQ0OZPHkyycnJ/PjjjyxYsACAkydP8vLLLxMbG8upU6e4dOkSH374IU5OTjg6OpKens6ZM2fQarUAnD59moCAgCrrAQwfPpz4+Hh1zc7mzZsZNmwYFhY198/l5eXFsGHDmDt3LvHx8Zw/f56jR48CpUllXFwcmzZtYunSpWzevNlke5GRkQwYMICePXsycOBAfvrppwrlb7zxBn/96185evQo+fn5LFu2DIBFixaxbt06tm3bRlxcHHq9nvj4eJycnMjLy+Orr77C1dWVvLw88vLycHJyqrT/mJgYtFqturm6ut7lGRJCCFGf1MkEyc/PjyNHjqibn58fULoOKTMzk7CwMM6cOcP169dJTU0FID4+nqeeeorQ0FA6dOjA9OnT1fa++OILOnXqxNixY/Hx8WHChAls2bIFKE0sfv31V3r27Mkvv/xCcXGx2mbnzp05ffo0RUVFtG7dmmPHjmFhYYFOp6u2XlBQEEVFRRw8eBBFUUhISGDEiBE1es7Gjh2Lu7s7QUFBdOjQgWbNmlFcXAzASy+9RPfu3enVqxcjR44kISHBZHtWVlasWrWK//73v5SUlPDYY4/xww8/qOU9e/bk1Vdfxdvbm9DQULKysgBYuXIl0dHRBAQE0KdPHyZPnsxHH32ERqPBwcEBW1tbLCws1ORXo9FU2n9UVBT5+fnqVta+EEIIYY46uQbJysqq0ifQFEVh5syZbNmyhbZt22JnZ8etW7cAuHjxIm5ubuqxXl5e6t/Pnz9PSkqKuq7pjz/+UBd937hxg3HjxrFv3z4effRRGjRooLbZuXNnjhw5go2NDT4+Pnz11Vd07tzZZD1LS0sGDx7Mpk2bsLS0xMLCgh49epgc9/Lly/n5559ZvHix+lqDBg0qPbagoKDCvo2NTYU/yys/++Li4sIvv/xiMpbjx4/j6upKp06d2LFjBxEREcyaNYtvvvkGKH2SrYyVlZU6W5aVlYWnp6da5uXlxZo1a0z2Z8za2hpra+s/XU8IIYSAOjqDVJW1a9eSlJREZmYm+/fvJyQkRC1zdHSssB7p3Llz6t/btGlDSEiIOiN19OhRvv76awAWL15Mfn4+Fy9e5JtvvqmQyHTu3Jn4+Hi8vb3x8fFh8+bNaoJUXT2AESNGsGnTJuLj4xk+fHiVMyXlaTQa9XYiwKVLl3B2dlbLyq9hOnz4sFnnDKjwxFhWVhatWrUyWeeFF16oMNMUFBREXl6eum9vb19pPTc3N9LT09X99PR03N3d1X0LCws1mRJCCCFqSr1KkK5evYqiKFy+fJkdO3bwxhtvqB+2ISEh7Nq1i+3bt3Py5El1jRFAWFgY+/bt4/Tp01hbW7NkyRJGjx6ttllSUkJubi5r165l+fLlapudO3fm8OHD+Pr64uPjw+HDhwkICDBZD0pnWK5fv86HH35o9u21xx9/nKSkJL755htSU1NZvXo1Tz31FFA685OUlISiKPzwww98+eWXZp+32NhYDh48yP79+1m7di1DhgwxWSc4OJj33nuP48eP89NPP/HBBx8QHBxsst64cePQ6/WkpKTw/fffs2jRIsaPH6+We3p6kp2dTUpKCmlpaaSkpJg9DiGEEMJc9SpBGjVqFB4eHrRt25bo6GgiIyP56aefKCwspFu3brz77ruMHTuWAQMG0L9/f7Wel5cXn376KVOnTsXb25tjx46xbt06AKZMmUJRURG+vr6sWrWKMWPGcOTIEQB0Oh1arVZNkAA1QaquHpTeGhsyZAjNmjWjW7duZo3vkUceYenSpbz44ov06NGDHj16qE+OTZgwgfz8fPz8/JgzZw5RUVFmn7fhw4fz/PPP8+yzzzJlyhQGDRpkss6cOXN47LHHeOKJJ+jduzddu3Zl9uzZJutNmTKFsLAw+vfvT3h4OHq9ntDQULW8TZs2xMTE8NRTT/Hoo4/yn//8x+xxCCGEEObSKHK/4oFz48YNcnNzmTdvHi1btuTNN9+stVj69OlDREQEERERtRbDvWAwGEqfZpuyAQvrxves3Yy3B96ztoQQQtS8ss+D/Pz8Kpd7QB1dpP2wu3z5Mr6+vvj5+d32fUxCCCGEqHmSID2AXFxcKCwsrO0wgNJvxBZCCCHqG0mQRL1yIjq42ilVIYQQAurZIm0hhBBCCHNIgiSEEEIIYUQSJCGEEEIII7IGSdQr7efsuuvH/OXRfiGEqPtkBkkIIYQQwogkSEIIIYQQRiRBEkIIIYQwUq8SpLi4ODQaDRqNhsaNG/PXv/71vvzYaUZGBhqNpsb7MZaYmIiDg8N977fMqlWrcHd3p3nz5rz00kvcvHkTgIiICPR6fa3FJYQQQphSrxIkgPbt25OXl8fJkyfx8fHh2Wefpbi4uEb7dHNzIy8vr0b7eNAkJyczffp01q9fz969e/nuu+/46KOP7rrd2ko2hRBC1C/17im2Bg0a4ODggIODA0uWLMHe3p60tDTatm1bY31aWFjU6kxObdi7dy9dunShR48eAMyaNYuMjIzaDUoIIYQwU72bQSrP2toaCwsLCgoKSExMxMPDo0K5RqMhIyNDLduyZQvu7u40a9aMpUuXAlRbVqayWQ9T9Y4dO0b79u1p1qwZf//73/H392fJkiV3PFa9Xk9ERMRt/ZeNc9KkSdja2vLWW2/RtWtX2rRpQ2ZmJhEREYSFhdGlSxeaNWvGxIkTzZpx8/X1Zf/+/Wzbtg2A0aNHEx0drZbfunWLiRMnYmtrS/v27UlNTVXLli1bhoeHB87Ozuj1ekpKSgCwsbFBp9OpMWs0GpKSkirtv6ioCIPBUGETQgghzFVvEyRFUViyZAl2dnb4+/ubPP7SpUvMnz+f7du3M3fuXKZNm6b+oGx1ZXfa5vjx43nuuef47rvv+OSTT/jkk0944YUX7m7Q1WjcuDFTp05Fr9ezdOlSmjRpwv79+wHYsmUL8+bNIzExkV27dt2WAFYmJCSEyZMnExoaSmBg4G2JzIoVK7C3t+fEiRM4Ojry5ptvArBx40aio6OJi4tj27ZtrFmzhg8++ACAnJwcjh49CkBeXh55eXl069at0v5jYmLQarXq5urqesfnRgghRP1T7xKk48eP4+DgQJMmTYiJieHTTz+lSZMmJutdu3aN5cuX065dO3XBcU5OjsmyO23zyJEjDBs2jEcffZR27dpx7tw5mjZteneDr8bo0aPx9PQkICCA7t274+zsrM4UDR48mP79+9OxY0cmTpxIQkKCWW3GxMSQmpqKTqfj8ccfJz4+Xi1zdXUlJiYGDw8PwsLCyMrKAmDlypVMmTKFPn36EBAQgF6vV9cuabVa9Ydmy26TNmjQoNK+o6KiyM/PV7ey9oUQQghz1LsEyc/PjyNHjjB27Fh8fX0ZNGhQpccVFBRU2G/atCkdO3YEwMrKCiidhTJVVp3q6nl7e3Pw4EEuX77M6dOneeSRR0y2t2XLFoYOHVrhtaoSCOPx2djYVPizvPKzLy4uLmYlf6mpqfz22294eXnx+eefM2vWLKZNm6aW9+7dW/27lZWVOu6srCw8PT3VMi8vL86dO2eyP2PW1tbY29tX2IQQQghz1bsEycrKCg8PD2bPns2xY8fYs2cPULqmpWytC8Dhw4cr1KvuA/ZOP3yrqqcoCo888givvvoqrVq1Ijw8nEcffdRke1ZWVvz3v/9V9y9duoSzszNgenzVKb+4Oisri1atWpms849//IPly5er+0FBQRWe5Ktq7G5ubqSnp6v76enpuLu7q/sWFqVvWXMSUCGEEOJO1bsEqUyLFi2YPHmyunDYxcWFixcvkpmZSUFBAXPmzKm12FJTU9m3bx8HDhzgzJkzvPfee2bV69q1K7///jtr164lIyOD5cuX89RTTwGl4zt8+DDFxcWkpaWxYsUKs+OJj49n+/btHDt2jGXLljFkyBCTdYKDg4mNjSUpKYmzZ8/y9ttvExwcbLLeuHHjWLRoEd9//z0pKSnMmTOH8ePHq+XOzs40btyYrVu3kpmZWeUibSGEEOJu1NsECWD69OmcPHmSPXv24O3tzeTJkwkMDKRXr15Mnjy51uLy9fXF0dGR3r17o9PpaNSoUYUkoSotWrRg3bp1REdH8+ijj9K0aVM10XvuuedwcXHBz8+P0aNH8/rrr5sdz7Bhw5gxYwaPP/44AwcOJDIy0mSdyMhIRo4cybPPPktAQAD29vZmPYU3ZMgQZs+eTXh4OAMGDGDkyJFMmjRJLW/YsCErV64kMjISPz8/s9dDCSGEEH+GRpF7FQ+cTz75hA0bNhAbG0vjxo05duwYAwYMICcn576vpYmIiMDDw+Oh/+Zrg8FQ+jTblA1YWDe+q7Yy3h54j6ISQghxv5V9HuTn51f7mVrvvijyYfDEE0+wdu1a2rdvz40bN3B3d+ftt9+WhcZCCCHEfSIJ0gPI09OTb775prbDAEp/v04IIYSobyRBEvXKiehgmYkTQghhUr1epC2EEEIIURlJkIQQQgghjEiCJIQQQghhRNYgiXql/ZxdJh/zl8f4hRBCyAySEEIIIYQRSZCEEEIIIYxIgiSEEEIIYUQSJCGEEEIII5Ig/X+JiYloNBo0Gg0NGzakY8eO7Nq1y+z6GRkZaDSaP11Wk8r6vXLlyn3vuzp6vZ6IiIjaDkMIIYSokiRI5djb25OXl8e5c+eYNGkSQ4YMITs7u7bDEkY0Gg0ZGRm1HYYQQog6TBKkcjQaDQ4ODjg7OzNu3Dh0Oh3ff/99bYclhBBCiPtMEqRqWFpacvPmTRITE/Hw8KhQdrezGNW1GRcXx2OPPUZoaCharZZ+/fpx8eLFO+4LSn90tk+fPup++dt+Hh4ejB8/Hq1Wy7Rp0+jfvz/NmzcnOTkZvV5P//796d27N1qtlrCwMAwGg1l9rlu3Dp1OR5MmTQgODub333+vUD537lwcHBzQ6XQcOHBAff3LL7/Ez8+PFi1a8Morr1BYWAiAv7+/GrNOp0Oj0bB+/fpK+y4qKsJgMFTYhBBCCHNJglSFr7/+mp9//pnAwMBa6T85OZkePXpw5MgRrK2tGT9+fI32ZzAYWLBgAe+99x7jx4+nU6dO7N69G4CdO3cyZswYDh06REZGBq+//rrJ9q5evcqoUaOIiYnh5MmTWFpasnDhQrV8+/btpKenk5KSQmBgIFFRUUDpuEeNGsX8+fPZv38/hw4dYubMmWpZXl4eAEePHiUvL48hQ4ZU2n9MTAxarVbdXF1d7+r8CCGEqF8kQSonPz8fBwcHbGxsGDp0KEuXLsXb27tWYmnTpg0zZsxAp9Oh1+vZtm0bf/zxR431Fx4ejq+vL05OToSGhuLq6kpxcTEAgYGBhIeH4+Pjw4wZM0hISDDZnqWlpToD5+zszJYtW5g7d26F8hUrVqDT6QgPDycrKwuA2NhYRo4cyTPPPIO/vz8LFy5k5cqVKIqCnZ0dDg4OQOl6MQcHBxo2bFhp/1FRUeTn56tbWftCCCGEOSRBKsfOzo4jR45w5swZrly5wpgxYyo9rqCg4J73bdxmmzZt1NtJLi4u3Lp1i0uXLlXbxqFDh+jZs+dtrzdo0MBkfzY2NhX+LK/87IuLiws5OTnVxgHQqFEj1q9fz8qVK3F0dOTpp5+ukKR0794da2trAKysrFAUBYCsrCw8PT3V47y8vLhx4wa5ubkm+yzP2toae3v7CpsQQghhLkmQyrGwsMDDwwMXF5cKj+VrNBpKSkrU/cOHD991X6baPHfuXIWkwdLSkhYtWlTbpq2tLcnJydy6dQuAS5cuYWtri52d3V2Nofxaq6ysLFq1amWyzuXLl3FycmL//v3k5OTQokULpkyZopZXlbC4ubmRnp6u7qenp9OoUSNatmypvqbRaNRzI4QQQtQESZDM4OLiwsWLF8nMzKSgoIA5c+bUeJvZ2dnExMRw9uxZoqOjCQ0NrXQmqDwvLy9at27NwoULOX/+PIsWLSIoKEjt79SpUxgMBnJzc3nnnXfMjjUpKYnVq1dz+vRp5s+fX+W6n/J+++03+vTpw86dO7l8+TKAWbcIx44dy5o1a4iPjyc1NZWpU6cSGRlZIWH18vJix44dXLhwgb1795o9DiGEEMJckiCZwdvbm8mTJxMYGEivXr2YPHlyjbfZvXt3fvzxR9q3b8/NmzdZunSpyTYbNmzIhg0bWL9+PW3btiUnJ4clS5YA8OSTT9K3b186dOjAwIEDmTVrltmxhoSEEBsbS0BAAF5eXmYliGXrh15++WW8vLxITU1lwYIFJut17dqV1atXM2PGDAIDA+nSpQsxMTEVjlm+fDkLFy5Ep9OxYsUKs8chhBBCmEujyL2KB05cXBxxcXEkJibWdijo9Xr1qwceZgaDofRptikbsLBuXO2xGW8PvE9RCSGEuN/KPg/y8/OrXZ8qM0hCCCGEEEZkBknUC+b+H4MQQoi6TWaQhBBCCCHukCRIQgghhBBGJEESQgghhDAiCZIQQgghhBHL2g5AiPup/Zxd1T7mL4/4CyGEAJlBEkIIIYS4jSRIQgghhBBGJEESQgghhDBidoIUFxeHRqO5bXsQfg7jfsvIyKjw46lVqeqc7dmz50/1l5iYiIeHxx1G++CJiIhAr9fXdhhCCCFElcxOkJ5//nny8vLUX0/Py8sjLy+PXr161VhwdUH79u3Vc1W29enTp7bDemiZm5wKIYQQd8Psp9isrKywsrLCzs4OAAcHh5qKqU5p0KCBnCshhBDiIXNP1iBVdgtIo9GQkZEB/N8tlc8//xw/Pz+WL19eod6WLVtwd3enWbNmLF26VG3jwIEDdO7cmcaNG/PYY49x6tQptayqNgFOnDhBr1690Gq1DBgwgPPnz5uM01QsW7duxdvbmxYtWvDpp5/ei9NGQkICfn5+NGnShKCgILKzs9Wy2NhY2rRpQ5s2bdi9e3eFejt37qRDhw44ODgwduxYioqK1LKPP/4YNzc37OzsGDx4MNeuXSMnJwdLS0uKi4uZMmUK3bt3B6Bbt25s3LixynoAY8aMYeLEiWr7e/bsoXXr1pSUlJgc3/vvv0/r1q2xs7NjxIgRFBYWqmW3bt1i4sSJ2Nra0r59e1JTU9WyZcuW4eHhgbOzM3q9Xu3LxsYGnU4HoN6uTEpKqrTvoqIiDAZDhU0IIYQw131bpL1r1y6WLl3Ku+++y9NPP62+funSJebPn8/27duZO3cu06ZNo7CwkJKSEoYOHcrgwYNJT0/n8ccfZ/r06SbbvHbtGn379uVvf/sbx44dw9XVldDQULM+0KuKJScnhxEjRjBjxgySkpLYunWr2eM+fvw4Dg4O6nb8+HGg9BbliBEjiIqKIi0tDUdHR+bNmwfA0aNHeeWVV1i2bBk7duxg/fr1antpaWmEhoYyefJkkpOT+fHHH1mwYAEAJ0+e5OWXXyY2NpZTp05x6dIlPvzwQ5ycnHB0dCQ9PZ0zZ86g1WoBOH36NAEBAVXWAxg+fDjx8fGU/abx5s2bGTZsGBYW1b91fv75Z1577TXWr1/Pf//7X9LS0li9erVavmLFCuzt7Tlx4gSOjo68+eabAGzcuJHo6Gji4uLYtm0ba9as4YMPPgAgJyeHo0ePqucvLy+Pbt26Vdp/TEwMWq1W3VxdXc3+NxNCCCHu2xdFnjlzhtOnT6sfzmWuXbvG8uXLadeuHT4+PkyaNImcnBxcXV1JSUmhadOmHDt2jCtXrlSYZaiqza+++go7OzvmzJkDwOLFi2nZsiU//vijyRiriiUxMRGdTse4ceMA0Ov1DBxo3hcK+vn5sX37dnW/devWANja2pKZmYlWq+XQoUNcv36d3377DYD4+HieeuopQkNDAZg+fTrvvPMOAF988QWdOnVi7NixAEyYMIH//d//5V//+hdeXl78+uuv2NjY8MMPP1BcXKyes86dO3P69GmKiopwcXHh2LFjWFhYoNPpKCwsrLJeUFAQRUVFHDx4kB49epCQkMCGDRtMjtva2hqAmzdvotPp+OGHHyqUu7q6EhMTA0BYWBjr1q0DYOXKlUyZMkVdp6XX63njjTeYMmUKWq1W/eVlU7cto6KimDp1qrpvMBgkSRJCCGG2GkmQCgoKbntt1KhRtyVHAE2bNqVjx45A6TonAEVRsLCw4P333+eTTz7B09MTV1dXbt26ZbLNrKws9TYMlN6WcXFx4dy5czg6OlYbZ1WxXLx4ETc3N/U4Ly+v6k9AOVZWVpU+gaYoCjNnzmTLli20bdsWOzs7dXzV9Xf+/HlSUlLUBOGPP/7A1tYWgBs3bjBu3Dj27dvHo48+SoMGDdQ2O3fuzJEjR7CxscHHx4evvvqKzp07m6xnaWnJ4MGD2bRpE5aWllhYWNCjRw+T49bpdKxYsUKdIevXrx8ffPABLVu2BKB3794VzlHZDFVWVhaenp4Vxn7u3DmT/RmztrZWkzQhhBDiz7ont9g0Gk2FW1iHDx++7ZgmTZpUWrdsRsBYYmKiesvnxx9/ZMyYMWa16ebmxtmzZ9X9oqIisrOzcXd3NxlnVbE4OjpWWB90Jx/YxtauXUtSUhKZmZns37+fkJAQs/pr06YNISEhHDlyhCNHjnD06FG+/vproHS2LD8/n4sXL/LNN99USGQ6d+5MfHw83t7e+Pj4sHnzZjVBqq4ewIgRI9i0aRPx8fEMHz7crKfIsrOz6dq1K8nJyWRkZPD777/zxhtvqOVVnWs3NzfS09PV/fT0dNzd3dX9slt7ZQmVEEIIURPuSYLk4uLCxYsXyczMpKCgQL29dTeuXr0KwJUrVzhw4ABTp04160Nx0KBBXL16lejoaDIzM3n11Vfx8fGhW7dudxxn3759+fnnn1m9ejVnzpy5J9/hc/XqVRRF4fLly+zYsYM33nhDHV9ISAi7du1i+/btnDx5Ul1jBKW3o/bt28fp06extrZmyZIljB49Wm2zpKSE3Nxc1q5dy/Lly9U2O3fuzOHDh/H19cXHx4fDhw8TEBBgsh5Anz59uH79Oh9++CEjRowwa3wnTpygb9++HDhwQP23/OOPP0zWGzduHIsWLeL7778nJSWFOXPmMH78eLXc2dmZxo0bs3XrVjIzM6tcpC2EEELcjXuSIHl7ezN58mQCAwPp1asXkydPvus2+/XrR79+/QgICGD8+PGMGzeO7OxscnJyqq1na2vLrl272L17Nx06dODcuXMkJCRgYWFxx3G2adOGNWvWEB0dTa9evQgMDLzr8Y0aNQoPDw/atm1LdHQ0kZGR/PTTTxQWFtKtWzfeffddxo4dy4ABA+jfv79az8vLi08//ZSpU6fi7e3NsWPH1PU7U6ZMoaioCF9fX1atWsWYMWM4cuQIUHrLS6vVqgkSoCZI1dWD0q8qGDJkCM2aNatyUbSxvn37EhkZybBhw/D19UVRFP71r3+ZrDdkyBBmz55NeHg4AwYMYOTIkUyaNEktb9iwIStXriQyMhI/Pz8SEhLMikcIIYT4MzSK3KsQ1bhx4wa5ubnMmzePli1bqk+bPWwMBkPp02xTNmBh3bjK4zLeNm/xvRBCiIdT2edBfn5+lcs94D4+xSYeTpcvX8bX1xc/P7/bvo9JCCGEqKskQRLVcnFxqfAFj0IIIUR9IAmSqFdORAdXO6UqhBBCwH38Jm0hhBBCiIeFJEhCCCGEEEYkQRJCCCGEMCJrkES90n7Oriof85dH/IUQQpSRGSQhhBBCCCOSIAkhhBBCGJEESQghhBDCiCRIQgghhBBGJEG6B5KSkujSpQt2dnY89dRTXLhwoUJ5YmIiHh4eNR6HXq9Ho9HQsGFDfHx8mD9/Pnf7U3txcXH06dPnjuquWrUKd3d3mjdvzksvvcTNmzcBiIiIQK/X31VcQgghRE2SBOkuFRQUEBoayiuvvMKpU6ews7Or8Ovz99uAAQPIyMjg9ddf56233qq1H5dNTk5m+vTprF+/nr179/Ldd9/x0Ucf3XW7GRkZaDSaexChEEIIUTVJkO7STz/9xJUrVxg9ejSurq7Mnj2bW7du1Vo8DRs2xMXFhfDwcBYsWMAHH3xASUnJfY9j7969dOnShR49etCuXTtmzZrFpUuX7nscQgghxJ2QBOkuubq6YmFhwbx58/jjjz/o3LkzCQkJZtVNSEjAz8+PJk2aEBQURHZ2NgAeHh6MHz8erVbLtGnT6N+/P82bNyc5OflPxRYcHExubi4ZGRm33SorPxNTVvbxxx/j5OSEk5MTmzZtuq29nJwcPD09Wb16tcm+fX192b9/P9u2bQNg9OjRREdHq+W3bt1i4sSJ2Nra0r59e1JTU9WyZcuW4eHhgbOzM3q9Xk3wbGxs0Ol0AGg0GjQaDUlJSZX2X1RUhMFgqLAJIYQQ5pIE6S45Ojry2Wef8e677+Lt7c1nn31mVr28vDxGjBhBVFQUaWlpODo6Mm/ePLXcYDCwYMEC3nvvPcaPH0+nTp3YvXv3n4rN2dkZgN9++83ksSdOnGDTpk0cOHCA0aNHM2XKlArlBQUFDBo0iLFjxzJq1CiT7YWEhDB58mRCQ0MJDAy8LZFZsWIF9vb2nDhxAkdHR/VW4MaNG4mOjiYuLo5t27axZs0aPvjgA6A0QTt69ChQev7y8vLo1q1bpf3HxMSg1WrVzdXV1WTMQgghRBlJkO6BoUOHkpmZSUREBC+99BKvvfaayTq2trZkZmYSFhbGmTNnuH79eoVZlPDwcHx9fXFyciI0NBRXV1eKi4v/VFxlM0TmLNS+fv06q1evxtvbmxdffJGsrCy17NatW4SFhXHp0iVmzZpldv8xMTGkpqai0+l4/PHHiY+PV8tcXV2JiYnBw8ODsLAwtb+VK1cyZcoU+vTpQ0BAAHq9Xl27pNVqsbe3B8DBwQEHBwcaNGhQad9RUVHk5+erW/nxCCGEEKZIgnSXsrOzOXPmDFqtFr1ez44dO1i4cCHnzp2rtp6iKMycORMXFxdmzpxJcXFxhbVLNjY2Ff68Ezk5OQA4OTndVlZQUFBhv23btjg6OgJgZWVVoezAgQMANG7c2Ozbh6mpqfz22294eXnx+eefM2vWLKZNm6aW9+7dW/27lZWVmsRlZWXh6emplnl5eZk8l5WxtrbG3t6+wiaEEEKYSxKku/TFF18wduxYdf/xxx/H0tKSK1euVFtv7dq1JCUlkZmZyf79+wkJCbnnse3evZtWrVqh0+nQaDQVFmsfPny4wrHVJRBeXl588cUX6PV6oqKizFqE/o9//IPly5er+0FBQeTl5Znsz83NjfT0dHU/PT0dd3d3dd/CovQte7dfXyCEEEJURxKku/TUU0/xn//8h3Xr1nHhwgX0ej3Ozs74+/tXW+/q1asoisLly5fZsWMHb7zxxj350C8uLubChQusXbuW6dOnM2PGDDQaDS4uLpw6dQqDwUBubi7vvPOO2W26uLjQqFEjhgwZgpWVFatWrTJZJzg4mNjYWJKSkjh79ixvv/02wcHBJuuNGzeORYsW8f3335OSksKcOXMYP368Wu7s7Ezjxo3ZunUrmZmZVS7SFkIIIe6GZW0H8LDr0KEDq1atYs6cOWRnZ6tPsRnfpjI2atQotm3bRtu2benQoQORkZF8+OGHFBYW3lU827dvx8PDA29vb2JiYoiMjATgySefpG/fvnTo0AEnJydmzZrF888//6fa1mg0zJ07lwkTJjBy5EgaNWpU5bGRkZGcO3eOZ599lsLCQvr168eSJUtM9jFkyBAuXrxIeHg4N2/eJDIyssL3SjVs2JCVK1cSGRnJ5cuX+fvf/0737t3/1DiEEEIIUzSK3KsQ9YDBYCh9mm3KBiysG1d6TMbbA+9zVEIIIe63ss+D/Pz8apeXyC02IYQQQggjcotN1CsnooPliTYhhBAmyQySEEIIIYQRSZCEEEIIIYxIgiSEEEIIYUQSJCGEEEIII7JIW9Qr7efsksf8hRBCmCQzSEIIIYQQRiRBEkIIIYQwIgmSEEIIIYSROpcgxcXFodFo0Gg0NG7cmL/+9a+kpKTUdlj3jIeHB/Hx8bUdhklXr14lPDwcrVaLt7c3GzduVMs0Gg0ZGRm1F5wQQghhQp1LkADat29PXl4eJ0+exMfHh2effZbi4uLaDqtemTVrFleuXOH48eO8/vrr/M///A85OTl33a5eryciIuLuAxRCCCGqUScTpAYNGuDg4IBOp2PJkiVkZWWRlpZW22HVK4mJiYSFheHm5saoUaMICQkhPT29tsMSQgghzFInE6TyrK2tsbCwoKCgAIDk5GT+8pe/oNVqGTx4MPn5+QC89dZbvPDCC2q9EydO0Lx5c/744w8Adu7cSYcOHXBwcGDs2LEUFRWpx3p4eLBnzx6ioqJo1aoVJ0+eVMvef/99WrdujZ2dHSNGjKCwsBAARVFYsGAB7u7uODs7s3jx4rse67Vr1wgLC8Pe3p7WrVuzfPlyAG7cuIGdnR3JycnqsS+88AIzZ85U409MTFTLIiIi0Ov1QOntsNdeew1nZ2e8vLzYsmWLWbH4+vqydOlSLly4AMAXX3xBjx491PJffvmFrl27YmtrS3h4OIqiAJCXl8dzzz1H06ZN6dy5M/v27QNg/fr1aDQaoqOjWb16NRqNBn9//yr7LyoqwmAwVNiEEEIIc9XpBElRFJYsWYKdnR3+/v5cuXKF/v37079/f44dO4bBYGDatGkADBkyhN27d6sf1Dt27CA0NBRLS0vS0tIIDQ1l8uTJJCcn8+OPP7JgwYIKfb3++uucP3+eNWvW4OHhAcDPP//Ma6+9xvr16/nvf/9LWloaq1evBuCzzz7jrbfeYt26dfz73/9m1qxZ7N+//67GO3fuXNLS0jh+/DgbNmxg6tSpZGdn06hRIwYNGsSmTZsAKC4uZtu2bYwYMcKsdv/zn/+wf/9+/vnPfxIWFkZ2drbJOh988AG3bt3Cy8uLSZMmkZeXV6H81Vdf5a233uLrr7/m3//+N9999x0A4eHhXL9+ncOHDzNhwgQGDBjAhQsXGDJkCHl5ecyYMYPnnnuOvLy8CgmfsZiYGLRarbq5urqaNVYhhBAC6miCdPz4cRwcHGjSpAkxMTF8+umnNGnShG3bttGwYUPmzJmDu7s706dPV2dE/Pz8cHR05NChQ0DpjNGQIUOA0tmPTp06MXbsWHx8fJgwYcJtMylarZbPPvuMoKAgmjRpApTOXgHcvHkTnU7HDz/8wJgxY4DSBOmll16iZ8+e9OrVi5CQELNnZ6oSFRXF999/D8CZM2cq/DlixAg1QUpMTKRly5Z07tzZrHajo6Px8vLixRdfxMfHh927d5us4+LiQlJSEl988QXffPMN3bt3r5AkTZgwgb59+9KjRw86d+5MVlYWFy9eZOvWrXz00Ud4enoybtw4unfvzmeffUbDhg1xcHDAxsYGKysrHBwcsLOzq/Zc5Ofnq1tWVpZZYxVCCCGgjiZIfn5+HDlyhLFjx+Lr68ugQYMAOH/+PLm5uTRt2hQHBweGDx9Obm6uettr6NCh7Nixg+vXr3P8+HH+9re/qfVSUlJwcHDAwcGB6dOnc+7cuQp9Tpo06bY4dDodK1asICoqipYtW/I///M/apJw/vx5lixZorYZHx9/W5t/VkpKCgEBATzxxBN8/fXXNGrUiFu3bgHQr18/Ll68yIkTJ9i8eXO1s0dltyPLlJ99cXFxMbnY+ubNmxw6dIiSkhJCQ0M5dOgQlpaWLF26VD2mT58+6t+trKxQFIWsrCysra1p3bq1Wubl5XVH58Xa2hp7e/sKmxBCCGGuOpkgWVlZ4eHhwezZszl27Bh79uwBoE2bNnTp0oUjR45w5MgRjh49SkpKCg0bNgRKb7Pt2LGDb7/9lr59+2JlZaXWCwkJqVDv66+/rtBn2axRednZ2XTt2pXk5GQyMjL4/fffeeONN9Q2o6OjK7QZExNzV+N+8cUXee2110hPT+fTTz9V4wewsbEhNDSUL7/8ki1btlRIkDQaDSUlJUDpbUnjr0Uo/0h+VlYWrVq1qjaO69ev061bN86fPw9A48aNb5tBqixhcXNzo6ioqMItvPT0dNzd3dV9CwsL9TaoEEIIUVPqZIJUpkWLFkyePJno6GgABg4cyLlz5/jxxx9p1KgRX375Jf369VM/cDt06EB+fj5r1qxh6NChajthYWHs27eP06dPY21tzZIlSxg9erTJ/k+cOEHfvn05cOAAV69eBVAXfYeHh7N+/XquXr2Koii89NJLLFu2zKxxXbp0ifPnz6vbpUuXgNLvHiosLCQjI4Px48eTk5NTIZkYPnw4ixYtQqvV0r59e/V1FxcXDh48CMDixYtvm7GJjo4mLS2N2NhY0tPT6devX7XxNW3alG7duhEVFcW5c+f47rvv2Lx5M3379q22XqtWrRg0aBAvv/wyZ8+e5eOPP+bgwYMVFs97eXnxww8/qLN6dzvrJoQQQlSmTidIANOnT+fkyZPs2bMHBwcHtmzZwsKFC/H09OTf//43W7ZswdLy/36z95lnnmHr1q0EBwerr3l5efHpp58ydepUvL29OXbsGOvWrTPZd9++fYmMjGTYsGH4+vqiKAr/+te/gNKnyEaMGMHAgQPp3LkzOp2OuXPnmjWmsWPH4urqqm6jRo0CYMmSJbz11lt0796d5s2b0759+wqzQcHBwWg0mttur7355pvExsbSrl07fvnlF4YPH16h/Mknn6Rbt27ExMTwxRdf4OTkZDLG9evX8/vvv9OuXTtefPFFoqOjTSZWAKtXr6ZRo0Z07tyZZcuWsX37dlxcXNTy4cOHExAQgJ+fH8HBwffku5WEEEIIYxpF7lfUC9nZ2fzxxx889thj7N27F19fX7PqaTQazp49qz6Z97AyGAylT7NN2YCFdeNKj8l4e+B9jkoIIcT9VvZ5kJ+fX+361Do/gyRKrV27Fh8fH55//nmzkyMhhBCivrI0fYioC6ZPn8706dP/dD2ZYBRCCFEfSYIk6pUT0cHyyL8QQgiT5BabEEIIIYQRSZCEEEIIIYxIgiSEEEIIYUQSJCGEEEIII5IgCSGEEEIYkQRJCCGEEMKIJEhCCCGEEEYkQRJCCCGEMCJfFCnqhbJvBDcYDLUciRBCiNpU9jlg6pciJEES9cKlS5cAcHV1reVIhBBCPAiuXr2KVqutslwSJFEvNGvWDIBz585Ve0E8yAwGA66urmRlZT20P5ciY3gwyBgeDA/7GB7W+BVF4erVq7Ru3bra4yRBEvWChUXpcjutVvtQXciVsbe3lzE8AGQMDwYZQ+17GOM353+UZZG2EEIIIYQRSZCEEEIIIYxIgiTqBWtra+bMmYO1tXVth3LHZAwPBhnDg0HGUPse9vhN0SimnnMTQgghhKhnZAZJCCGEEMKIJEhCCCGEEEYkQRJCCCGEMCIJkhBCCCGEEUmQRJ134sQJunXrRtOmTXnttddM/v7O/ZSQkICnpyeWlpZ06tSJn376CYBXX30VjUajbt7e3mqd6sbz/fff07ZtW1q0aMF77713X8ZQVax3GueXX36Ju7s7rVu3Zt26dTUef1xcXIX4y7a4uDiefvrpCq899dRTD9QYfv/9d3Q6HRkZGeprNXHely1bhpOTE56ennz77bc1Gn9V1wQ8mNdFZWOoiThr8j1lPIbqrgnggb8u7hlFiDqssLBQ8fDwUCIjI5W0tDRlwIAByv/+7//WdliKoihKWlqa0rRpU+WLL75Qfv31V2XYsGFKz549FUVRlB49eijbtm1T8vLylLy8PMVgMCiKUv14fvvtN8Xe3l6Jjo5WfvnlFyUgIED59ttva3wclcV6p3EeP35csbKyUj7++GPl2LFjire3t/Lzzz/XaPxFRUVq7Hl5eUpWVpbSokULJS0tTXF2dlaOHz+ull27du2BGUNubq7yl7/8RQGUs2fPKopy5++P6mLeuXOnYmNjo8THxysHDhxQdDqd8vvvv9dI/NVdE4ry4F0XlY2hJuKsyfdUZWOo7ppQFOWBvi7uJUmQRJ22efNmpWnTpsr169cVRVGUI0eOKIGBgbUcVamvvvpKWbFihbr/7bffKo0aNVKKi4sVe3t75erVq7fVqW4877//vuLv76+UlJQoiqIo8fHxysiRI2t0DFXFeqdxTp48WQkODlbbWbRokfLPf/6zRsdg7M0331TGjRunnD9/XmnVqlWlxzwIYwgKClIWL15c4YOtJs57aGioEhkZqZZNmTJF+fjjj2sk/qquCUWp+r12N+OuiTHURJw1+Z6qbAzGyq4JRVEe+OviXpJbbKJOO3r0KN27d6dx48YAdOzYkVOnTtVyVKUGDRrESy+9pO6npqbi4+PD8ePHKSkpoVOnTjRq1Ih+/fpx7tw5oPrxHD16lCeeeAKNRgPAY489xuHDh2t0DFXFeqdxHj16lCeffFJt/36MobzCwkIWL17MrFmz+PHHH7l16xZt2rShSZMmhIWFkZeX98CM4eOPP+bVV1+t8FpNnPeaGk9l8Vd1TUDV77W7GXdNjKEm4qzJ91RlYyiv/DUBPPDXxb0kCZKo0wwGAzqdTt3XaDQ0aNBAvaAfFDdv3mThwoWMHz+eU6dO4efnx2effcaxY8ewtLRUPzSqG49xmb29PdnZ2TUad1Wx3mmctTGG8tauXctf/vIXPDw8+Pnnn3n00UfZtm0bSUlJnD17lqioKJNx3q8xlO+jTE2c95oaT2Xxl1f+moCq32uVxXi/rovKxlATcd7vMZRX/poAHvjr4l6yrO0AhKhJlpaWt30Nvo2NDQUFBTRt2rSWorrdnDlzaNKkCWPHjqVhw4aMHDlSLfvwww/R6XQYDIZqx2NcVvZ6TRo5cmSlsbZt2/aO4qyNMZT30UcfodfrAYiKilL/ww+wYMECBg8ezEcfffTAjuFO3x8P4njKXxNQ9XvtQbsuaiLO2nxPlb8m4OG8Lu6UzCCJOq1Zs2bk5uZWeO3q1atYWVnVUkS3+/bbb1m2bBlr166lYcOGt5U7OjpSUlLCxYsXqx2PcVltjLMs1latWt1RnLU5hrS0NNLS0vjb3/5WabmjoyOXLl2iqKjogR3Dnb4/HrTxmLom4OG5Lu5FnLU1BlPXBDwc18WdkgRJ1GndunXj4MGD6v7Zs2fVC/lBcPbsWZ577jmWLVvGI488AsBrr73G2rVr1WMOHjyIhYUFrq6u1Y7HuCwlJQUXF5cajb+qWDt06HBHcdbGGMps2LCBQYMGqR/II0aMYP/+/Wr5wYMHcXJywtra+oEdw52+Px6k8VR2TcDDc13URJy19Z4yvibg4bwu7lhtrxIXoiYVFxcrLVu2VB+lHTt2rDJo0KBajqpUQUGB8sgjjyjjxo1Trl69qm6ffvqpotPplD179ii7du1SfH19lYiICEVRqh9Pbm6uYmNjo3z99dfKzZs3lX79+imvvPJKjY7hs88+qzTWO43zyJEjSpMmTZRjx44pV69eVTp16qS8++67NTqGMn/961+VTz75RN1/4403lK5duyr79u1TNm/erDg5OSl6vf6BGwNGT1Dd6/OekJCgODs7K+fPn1d+/fVXxcXFRfnyyy9rJP6qromSkpIq32t3M+6aGENNxHk/3lNU8hSb8TWhKA/PdXEvSIIk6ryEhASlcePGSvPmzZWWLVsqJ0+erO2QFEUpfQQWuG07e/asMnPmTEWr1SrNmjVTXn31VfV7RhSl+vEsX75cadiwodK0aVNFp9Mpv/76a42Po6pY7zTOWbNmKVZWVoq9vb3SpUsXpaCgoMbHUFBQoFhZWSk//fST+trNmzeVF198UWnSpInSqlUrJTo6WikuLn7gxmD8wXavz3tJSYnywgsvKI0aNVIaNWqkDBo0SH2M+17HX901oShVv9fuZtz3egw1FWdNv6eMx1DZNaEoD891cS9oFOUB+lphIWrIr7/+yuHDh+nevTvNmzev7XDuWnXjOXv2LD///DN//etfsbW1raUIS91pnKdOneLChQv07t37gV6n8KCOoSbOe3JyMtevX6d3797qY9wPGrkuHgx1YQwAkiAJIYQQQhiRRdpCCCGEEEYkQRJCCCGEMCIJkhBCCCGEEUmQhBBCCCGMSIIkhBBCCGFEEiQhhBBCCCOSIAkhhBBCGJEESQghhBDCiCRIQgghhBBG/h+kb/kvGI79ngAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 500x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# head(10):前 10 个\n",
    "# df['action_type'].value_counts().head(10)[::-1].plot.barh(figsize=(5, 3))\n",
    "\n",
    "action_type = df['action_type'].value_counts().head(10)[::-1]\n",
    "\n",
    "plt.figure(figsize=(5, 3))\n",
    "plt.barh(action_type.index, action_type.values)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 3.科比各种投篮方式命中率 可视化对比\n",
    "- combined shot type 投篮方式"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>action_type</th>\n",
       "      <th>combined_shot_type</th>\n",
       "      <th>game_event_id</th>\n",
       "      <th>game_id</th>\n",
       "      <th>lat</th>\n",
       "      <th>loc_x</th>\n",
       "      <th>loc_y</th>\n",
       "      <th>lon</th>\n",
       "      <th>minutes_remaining</th>\n",
       "      <th>period</th>\n",
       "      <th>...</th>\n",
       "      <th>shot_type</th>\n",
       "      <th>shot_zone_area</th>\n",
       "      <th>shot_zone_basic</th>\n",
       "      <th>shot_zone_range</th>\n",
       "      <th>team_id</th>\n",
       "      <th>team_name</th>\n",
       "      <th>game_date</th>\n",
       "      <th>matchup</th>\n",
       "      <th>opponent</th>\n",
       "      <th>shot_id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Jump Shot</td>\n",
       "      <td>Jump Shot</td>\n",
       "      <td>10</td>\n",
       "      <td>20000012</td>\n",
       "      <td>33.9723</td>\n",
       "      <td>167</td>\n",
       "      <td>72</td>\n",
       "      <td>-118.1028</td>\n",
       "      <td>10</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>2PT Field Goal</td>\n",
       "      <td>Right Side(R)</td>\n",
       "      <td>Mid-Range</td>\n",
       "      <td>16-24 ft.</td>\n",
       "      <td>1610612747</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>2000-10-31</td>\n",
       "      <td>LAL @ POR</td>\n",
       "      <td>POR</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Jump Shot</td>\n",
       "      <td>Jump Shot</td>\n",
       "      <td>12</td>\n",
       "      <td>20000012</td>\n",
       "      <td>34.0443</td>\n",
       "      <td>-157</td>\n",
       "      <td>0</td>\n",
       "      <td>-118.4268</td>\n",
       "      <td>10</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>2PT Field Goal</td>\n",
       "      <td>Left Side(L)</td>\n",
       "      <td>Mid-Range</td>\n",
       "      <td>8-16 ft.</td>\n",
       "      <td>1610612747</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>2000-10-31</td>\n",
       "      <td>LAL @ POR</td>\n",
       "      <td>POR</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Jump Shot</td>\n",
       "      <td>Jump Shot</td>\n",
       "      <td>35</td>\n",
       "      <td>20000012</td>\n",
       "      <td>33.9093</td>\n",
       "      <td>-101</td>\n",
       "      <td>135</td>\n",
       "      <td>-118.3708</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>2PT Field Goal</td>\n",
       "      <td>Left Side Center(LC)</td>\n",
       "      <td>Mid-Range</td>\n",
       "      <td>16-24 ft.</td>\n",
       "      <td>1610612747</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>2000-10-31</td>\n",
       "      <td>LAL @ POR</td>\n",
       "      <td>POR</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Jump Shot</td>\n",
       "      <td>Jump Shot</td>\n",
       "      <td>43</td>\n",
       "      <td>20000012</td>\n",
       "      <td>33.8693</td>\n",
       "      <td>138</td>\n",
       "      <td>175</td>\n",
       "      <td>-118.1318</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>2PT Field Goal</td>\n",
       "      <td>Right Side Center(RC)</td>\n",
       "      <td>Mid-Range</td>\n",
       "      <td>16-24 ft.</td>\n",
       "      <td>1610612747</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>2000-10-31</td>\n",
       "      <td>LAL @ POR</td>\n",
       "      <td>POR</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Driving Dunk Shot</td>\n",
       "      <td>Dunk</td>\n",
       "      <td>155</td>\n",
       "      <td>20000012</td>\n",
       "      <td>34.0443</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>-118.2698</td>\n",
       "      <td>6</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>2PT Field Goal</td>\n",
       "      <td>Center(C)</td>\n",
       "      <td>Restricted Area</td>\n",
       "      <td>Less Than 8 ft.</td>\n",
       "      <td>1610612747</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>2000-10-31</td>\n",
       "      <td>LAL @ POR</td>\n",
       "      <td>POR</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 25 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         action_type combined_shot_type  game_event_id   game_id      lat  \\\n",
       "0          Jump Shot          Jump Shot             10  20000012  33.9723   \n",
       "1          Jump Shot          Jump Shot             12  20000012  34.0443   \n",
       "2          Jump Shot          Jump Shot             35  20000012  33.9093   \n",
       "3          Jump Shot          Jump Shot             43  20000012  33.8693   \n",
       "4  Driving Dunk Shot               Dunk            155  20000012  34.0443   \n",
       "\n",
       "   loc_x  loc_y       lon  minutes_remaining  period  ...       shot_type  \\\n",
       "0    167     72 -118.1028                 10       1  ...  2PT Field Goal   \n",
       "1   -157      0 -118.4268                 10       1  ...  2PT Field Goal   \n",
       "2   -101    135 -118.3708                  7       1  ...  2PT Field Goal   \n",
       "3    138    175 -118.1318                  6       1  ...  2PT Field Goal   \n",
       "4      0      0 -118.2698                  6       2  ...  2PT Field Goal   \n",
       "\n",
       "          shot_zone_area  shot_zone_basic  shot_zone_range     team_id  \\\n",
       "0          Right Side(R)        Mid-Range        16-24 ft.  1610612747   \n",
       "1           Left Side(L)        Mid-Range         8-16 ft.  1610612747   \n",
       "2   Left Side Center(LC)        Mid-Range        16-24 ft.  1610612747   \n",
       "3  Right Side Center(RC)        Mid-Range        16-24 ft.  1610612747   \n",
       "4              Center(C)  Restricted Area  Less Than 8 ft.  1610612747   \n",
       "\n",
       "            team_name   game_date    matchup opponent  shot_id  \n",
       "0  Los Angeles Lakers  2000-10-31  LAL @ POR      POR        1  \n",
       "1  Los Angeles Lakers  2000-10-31  LAL @ POR      POR        2  \n",
       "2  Los Angeles Lakers  2000-10-31  LAL @ POR      POR        3  \n",
       "3  Los Angeles Lakers  2000-10-31  LAL @ POR      POR        4  \n",
       "4  Los Angeles Lakers  2000-10-31  LAL @ POR      POR        5  \n",
       "\n",
       "[5 rows x 25 columns]"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "combined_shot_type\n",
       "Bank Shot      95.0\n",
       "Dunk          980.0\n",
       "Hook Shot      68.0\n",
       "Jump Shot    7708.0\n",
       "Layup        2561.0\n",
       "Tip Shot       53.0\n",
       "Name: shot_made_flag, dtype: float64"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "combined_shot_type\n",
       "Bank Shot      120\n",
       "Dunk          1056\n",
       "Hook Shot      127\n",
       "Jump Shot    19710\n",
       "Layup         4532\n",
       "Tip Shot       152\n",
       "Name: shot_made_flag, dtype: int64"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='combined_shot_type'>"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# groupby：分组\n",
    "# 每一种投篮方式的命中次数\n",
    "shot_sum = df.groupby('combined_shot_type')['shot_made_flag'].sum()\n",
    "\n",
    "# 每一种投篮方式的投篮总次数\n",
    "shot_count = df.groupby('combined_shot_type')['shot_made_flag'].count()\n",
    "\n",
    "display(shot_sum, shot_count)\n",
    "\n",
    "shot_rate = shot_sum / shot_count\n",
    "\n",
    "shot_rate.plot()\n",
    "shot_rate.plot(kind='bar')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 4.科比在各区域投篮对比\n",
    "- 画散点图，并使用cmap=\"rainbow\"区分颜色\n",
    "- 画3个子图:shot zone basic,shot zone range, shot zone area"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>action_type</th>\n",
       "      <th>combined_shot_type</th>\n",
       "      <th>game_event_id</th>\n",
       "      <th>game_id</th>\n",
       "      <th>lat</th>\n",
       "      <th>loc_x</th>\n",
       "      <th>loc_y</th>\n",
       "      <th>lon</th>\n",
       "      <th>minutes_remaining</th>\n",
       "      <th>period</th>\n",
       "      <th>...</th>\n",
       "      <th>shot_type</th>\n",
       "      <th>shot_zone_area</th>\n",
       "      <th>shot_zone_basic</th>\n",
       "      <th>shot_zone_range</th>\n",
       "      <th>team_id</th>\n",
       "      <th>team_name</th>\n",
       "      <th>game_date</th>\n",
       "      <th>matchup</th>\n",
       "      <th>opponent</th>\n",
       "      <th>shot_id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Jump Shot</td>\n",
       "      <td>Jump Shot</td>\n",
       "      <td>10</td>\n",
       "      <td>20000012</td>\n",
       "      <td>33.9723</td>\n",
       "      <td>167</td>\n",
       "      <td>72</td>\n",
       "      <td>-118.1028</td>\n",
       "      <td>10</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>2PT Field Goal</td>\n",
       "      <td>Right Side(R)</td>\n",
       "      <td>Mid-Range</td>\n",
       "      <td>16-24 ft.</td>\n",
       "      <td>1610612747</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>2000-10-31</td>\n",
       "      <td>LAL @ POR</td>\n",
       "      <td>POR</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Jump Shot</td>\n",
       "      <td>Jump Shot</td>\n",
       "      <td>12</td>\n",
       "      <td>20000012</td>\n",
       "      <td>34.0443</td>\n",
       "      <td>-157</td>\n",
       "      <td>0</td>\n",
       "      <td>-118.4268</td>\n",
       "      <td>10</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>2PT Field Goal</td>\n",
       "      <td>Left Side(L)</td>\n",
       "      <td>Mid-Range</td>\n",
       "      <td>8-16 ft.</td>\n",
       "      <td>1610612747</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>2000-10-31</td>\n",
       "      <td>LAL @ POR</td>\n",
       "      <td>POR</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Jump Shot</td>\n",
       "      <td>Jump Shot</td>\n",
       "      <td>35</td>\n",
       "      <td>20000012</td>\n",
       "      <td>33.9093</td>\n",
       "      <td>-101</td>\n",
       "      <td>135</td>\n",
       "      <td>-118.3708</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>2PT Field Goal</td>\n",
       "      <td>Left Side Center(LC)</td>\n",
       "      <td>Mid-Range</td>\n",
       "      <td>16-24 ft.</td>\n",
       "      <td>1610612747</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>2000-10-31</td>\n",
       "      <td>LAL @ POR</td>\n",
       "      <td>POR</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Jump Shot</td>\n",
       "      <td>Jump Shot</td>\n",
       "      <td>43</td>\n",
       "      <td>20000012</td>\n",
       "      <td>33.8693</td>\n",
       "      <td>138</td>\n",
       "      <td>175</td>\n",
       "      <td>-118.1318</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>2PT Field Goal</td>\n",
       "      <td>Right Side Center(RC)</td>\n",
       "      <td>Mid-Range</td>\n",
       "      <td>16-24 ft.</td>\n",
       "      <td>1610612747</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>2000-10-31</td>\n",
       "      <td>LAL @ POR</td>\n",
       "      <td>POR</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Driving Dunk Shot</td>\n",
       "      <td>Dunk</td>\n",
       "      <td>155</td>\n",
       "      <td>20000012</td>\n",
       "      <td>34.0443</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>-118.2698</td>\n",
       "      <td>6</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>2PT Field Goal</td>\n",
       "      <td>Center(C)</td>\n",
       "      <td>Restricted Area</td>\n",
       "      <td>Less Than 8 ft.</td>\n",
       "      <td>1610612747</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>2000-10-31</td>\n",
       "      <td>LAL @ POR</td>\n",
       "      <td>POR</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 25 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         action_type combined_shot_type  game_event_id   game_id      lat  \\\n",
       "0          Jump Shot          Jump Shot             10  20000012  33.9723   \n",
       "1          Jump Shot          Jump Shot             12  20000012  34.0443   \n",
       "2          Jump Shot          Jump Shot             35  20000012  33.9093   \n",
       "3          Jump Shot          Jump Shot             43  20000012  33.8693   \n",
       "4  Driving Dunk Shot               Dunk            155  20000012  34.0443   \n",
       "\n",
       "   loc_x  loc_y       lon  minutes_remaining  period  ...       shot_type  \\\n",
       "0    167     72 -118.1028                 10       1  ...  2PT Field Goal   \n",
       "1   -157      0 -118.4268                 10       1  ...  2PT Field Goal   \n",
       "2   -101    135 -118.3708                  7       1  ...  2PT Field Goal   \n",
       "3    138    175 -118.1318                  6       1  ...  2PT Field Goal   \n",
       "4      0      0 -118.2698                  6       2  ...  2PT Field Goal   \n",
       "\n",
       "          shot_zone_area  shot_zone_basic  shot_zone_range     team_id  \\\n",
       "0          Right Side(R)        Mid-Range        16-24 ft.  1610612747   \n",
       "1           Left Side(L)        Mid-Range         8-16 ft.  1610612747   \n",
       "2   Left Side Center(LC)        Mid-Range        16-24 ft.  1610612747   \n",
       "3  Right Side Center(RC)        Mid-Range        16-24 ft.  1610612747   \n",
       "4              Center(C)  Restricted Area  Less Than 8 ft.  1610612747   \n",
       "\n",
       "            team_name   game_date    matchup opponent  shot_id  \n",
       "0  Los Angeles Lakers  2000-10-31  LAL @ POR      POR        1  \n",
       "1  Los Angeles Lakers  2000-10-31  LAL @ POR      POR        2  \n",
       "2  Los Angeles Lakers  2000-10-31  LAL @ POR      POR        3  \n",
       "3  Los Angeles Lakers  2000-10-31  LAL @ POR      POR        4  \n",
       "4  Los Angeles Lakers  2000-10-31  LAL @ POR      POR        5  \n",
       "\n",
       "[5 rows x 25 columns]"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "shot_zone_range\n",
       "Less Than 8 ft.    9398\n",
       "16-24 ft.          8315\n",
       "8-16 ft.           6626\n",
       "24+ ft.            6275\n",
       "Back Court Shot      83\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shot_zone_area.value_counts()\n",
    "df.shot_zone_basic.value_counts()\n",
    "df.shot_zone_range.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['shot_zone_area']=df['shot_zone_area'].factorize()[0]\n",
    "df['shot_zone_basic']=df['shot_zone_basic'].factorize()[0]\n",
    "df['shot_zone_range']=df['shot_zone_range'].factorize()[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0        0\n",
       "1        1\n",
       "2        2\n",
       "3        3\n",
       "4        4\n",
       "        ..\n",
       "30692    4\n",
       "30693    4\n",
       "30694    2\n",
       "30695    4\n",
       "30696    4\n",
       "Name: shot_zone_area, Length: 30697, dtype: int64"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shot_zone_area"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x400 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 1行3列\n",
    "plt.figure(figsize=(12, 4))\n",
    "\n",
    "N = ['shot_zone_basic', 'shot_zone_range', 'shot_zone_area']\n",
    "\n",
    "for k in range(3):\n",
    "    col = N[k]\n",
    "\n",
    "    axes = plt.subplot(1, 3, k+1)\n",
    "    axes.scatter(df['loc_x'], df['loc_y'], c=df[col], cmap='rainbow')\n",
    "    axes.set_title(col, fontsize=20)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 5.科比在每一节的出手次数对比\n",
    "- 柱形图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>action_type</th>\n",
       "      <th>combined_shot_type</th>\n",
       "      <th>game_event_id</th>\n",
       "      <th>game_id</th>\n",
       "      <th>lat</th>\n",
       "      <th>loc_x</th>\n",
       "      <th>loc_y</th>\n",
       "      <th>lon</th>\n",
       "      <th>minutes_remaining</th>\n",
       "      <th>period</th>\n",
       "      <th>...</th>\n",
       "      <th>shot_type</th>\n",
       "      <th>shot_zone_area</th>\n",
       "      <th>shot_zone_basic</th>\n",
       "      <th>shot_zone_range</th>\n",
       "      <th>team_id</th>\n",
       "      <th>team_name</th>\n",
       "      <th>game_date</th>\n",
       "      <th>matchup</th>\n",
       "      <th>opponent</th>\n",
       "      <th>shot_id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Jump Shot</td>\n",
       "      <td>Jump Shot</td>\n",
       "      <td>10</td>\n",
       "      <td>20000012</td>\n",
       "      <td>33.9723</td>\n",
       "      <td>167</td>\n",
       "      <td>72</td>\n",
       "      <td>-118.1028</td>\n",
       "      <td>10</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>2PT Field Goal</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1610612747</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>2000-10-31</td>\n",
       "      <td>LAL @ POR</td>\n",
       "      <td>POR</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Jump Shot</td>\n",
       "      <td>Jump Shot</td>\n",
       "      <td>12</td>\n",
       "      <td>20000012</td>\n",
       "      <td>34.0443</td>\n",
       "      <td>-157</td>\n",
       "      <td>0</td>\n",
       "      <td>-118.4268</td>\n",
       "      <td>10</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>2PT Field Goal</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1610612747</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>2000-10-31</td>\n",
       "      <td>LAL @ POR</td>\n",
       "      <td>POR</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Jump Shot</td>\n",
       "      <td>Jump Shot</td>\n",
       "      <td>35</td>\n",
       "      <td>20000012</td>\n",
       "      <td>33.9093</td>\n",
       "      <td>-101</td>\n",
       "      <td>135</td>\n",
       "      <td>-118.3708</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>2PT Field Goal</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1610612747</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>2000-10-31</td>\n",
       "      <td>LAL @ POR</td>\n",
       "      <td>POR</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Jump Shot</td>\n",
       "      <td>Jump Shot</td>\n",
       "      <td>43</td>\n",
       "      <td>20000012</td>\n",
       "      <td>33.8693</td>\n",
       "      <td>138</td>\n",
       "      <td>175</td>\n",
       "      <td>-118.1318</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>2PT Field Goal</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1610612747</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>2000-10-31</td>\n",
       "      <td>LAL @ POR</td>\n",
       "      <td>POR</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Driving Dunk Shot</td>\n",
       "      <td>Dunk</td>\n",
       "      <td>155</td>\n",
       "      <td>20000012</td>\n",
       "      <td>34.0443</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>-118.2698</td>\n",
       "      <td>6</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>2PT Field Goal</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1610612747</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "      <td>2000-10-31</td>\n",
       "      <td>LAL @ POR</td>\n",
       "      <td>POR</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 25 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         action_type combined_shot_type  game_event_id   game_id      lat  \\\n",
       "0          Jump Shot          Jump Shot             10  20000012  33.9723   \n",
       "1          Jump Shot          Jump Shot             12  20000012  34.0443   \n",
       "2          Jump Shot          Jump Shot             35  20000012  33.9093   \n",
       "3          Jump Shot          Jump Shot             43  20000012  33.8693   \n",
       "4  Driving Dunk Shot               Dunk            155  20000012  34.0443   \n",
       "\n",
       "   loc_x  loc_y       lon  minutes_remaining  period  ...       shot_type  \\\n",
       "0    167     72 -118.1028                 10       1  ...  2PT Field Goal   \n",
       "1   -157      0 -118.4268                 10       1  ...  2PT Field Goal   \n",
       "2   -101    135 -118.3708                  7       1  ...  2PT Field Goal   \n",
       "3    138    175 -118.1318                  6       1  ...  2PT Field Goal   \n",
       "4      0      0 -118.2698                  6       2  ...  2PT Field Goal   \n",
       "\n",
       "  shot_zone_area  shot_zone_basic  shot_zone_range     team_id  \\\n",
       "0              0                0                0  1610612747   \n",
       "1              1                0                1  1610612747   \n",
       "2              2                0                0  1610612747   \n",
       "3              3                0                0  1610612747   \n",
       "4              4                1                2  1610612747   \n",
       "\n",
       "            team_name   game_date    matchup  opponent  shot_id  \n",
       "0  Los Angeles Lakers  2000-10-31  LAL @ POR       POR        1  \n",
       "1  Los Angeles Lakers  2000-10-31  LAL @ POR       POR        2  \n",
       "2  Los Angeles Lakers  2000-10-31  LAL @ POR       POR        3  \n",
       "3  Los Angeles Lakers  2000-10-31  LAL @ POR       POR        4  \n",
       "4  Los Angeles Lakers  2000-10-31  LAL @ POR       POR        5  \n",
       "\n",
       "[5 rows x 25 columns]"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<BarContainer object of 7 artists>"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 500x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "period = df.period.value_counts()\n",
    "\n",
    "plt.figure(figsize=(5, 3))\n",
    "plt.bar(period.index, period.values, width=0.6)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": ".venv",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
